ETL/Informatica Developer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 55,000 - 96,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking an ETL/Informatica Developer for a 24-month + extension assignment. The role involves designing data pipelines, building scalable ETL processes, and implementing data analytics capabilities.

Candidates should be prepared for on-site work and a range of employment types. The position emphasizes database design, data strategy, and collaboration with the business to communicate status and opportunities.

Responsibilities

• Conducts logical and physical database design
• Identifies opportunities to collect new data
• Designs ETL processes and data pipelines for large data sets
• Strategizes new uses for data and its interaction with data design
• Finds new uses for existing data sources
• Conducts statistical modeling and experiment design
• Tests and validates predictive models
• Builds data visualization prototypes
• Implements automated processes for scalable models
• Designs, modifies and builds new data processes
• Implement, configure, administer, monitor Hadoop clusters
• Accesses data more efficiently with new/enhanced software
• Communicates status, issues, and opportunities to the business
• Provides technical assistance to junior team members
• Creates data management standards, policies and procedures
• Evaluates emerging Big Data technologies for next-gen analytics
• Provides 24x7 on-call support

Job description

Senior AI Developer - Mettawa, IL

Job Description

• Job ID: J52799
• Job Title: ETL/Informatica Developer
• Location: Dallas, TX
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Position

ETL/Informatica Developer

Responsibilities

• Conducts logical and physical database design
• Identifies unique opportunities to collect new data.
• Designs ETL processes and data pipelines to build large, complex data sets.
• Strategizes new uses for data and its interaction with data design.
• Finds new uses for existing data sources.
• Conducts statistical modeling and experiment design.
• Tests and validates predictive models.
• Builds data visualization prototypes.
• Implements automated processes for efficiently producing scale models.
• Designs, modifies and builds new data processes.
• Implement, configure, administer, monitor Hadoop clusters
• Implements new or enhanced software designed to access and handle data more efficiently.
• Prepare and communicate status, issues, and opportunities to the business.
• Provides technical assistance to junior team members
• Create, refine and enforce data management standards, policies, and procedures.
• Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
• Provide 24x7 on-call support

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.